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Qualitative Research Design: An Interactive Approach

An Interactive Approach

The Third Edition presents an approach to qualitative research design that both captures what researchers really do and provides step-by-step support and guidance for those embarking for the first time on designing a qualitative study.

The Third Edition presents an approach to qualitative research design that both captures what researchers really do and provides step-by-step support and guidance for those embarking for the first time on designing a qualitative study.

Research Design

Qualitative, Quantitative, and Mixed Methods Approaches

This edition for sale in USA and Canada only. The book that has helped more than 150,000 students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis has been revised and updated while maintaining all the features that made the first edition so popular. New to this edition: · Because mixed method research has come into its own since the publication of the first edition, every chapter now shows how to implement a mixed method design in your proposal or plan as well as showing how to do the other two (qualitative and quantitative) approaches · Ethical issues that may arise in quantitative, qualitative and mixed methods designs have been added to a new section in Chapter 3 · Writing tips and considerations have been expanded and moved to the first part of the book to get your research plan started in the right direction · The latest developments in qualitative inquiry, including advocacy, participatory, and emancipatory approaches have been added to Chapter 10 · Mixed Method Procedures (Chapter 11) show readers how to identify the type of mixed method strategy, select the data collection and analysis approaches, and plan the overall structure of the study Examples, drawn from various disciplinary fields, are used throughout the book to deepen the readers understanding of the discussion. These include examples of studies with marginalized individuals in our society that reflect issues in social justice in addition to the traditional samples and populations studied by social researchers.

This edition for sale in USA and Canada only.

Research Design

Qualitative, Quantitative, and Mixed Methods Approaches

This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions; key elements of the research process; a review of the literature; an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry. New to this Edition Updated discussion on designing a proposal for a research project and on the steps in designing a research study. Additional content on epistemological and ontological positioning in relation to the research question and chosen methodology and method. Additional updates on the transformative worldview. Expanded coverage on specific approaches such as case studies, participatory action research, and visual methods. Additional information about social media, online qualitative methods, and mentoring and reflexivity in qualitative methods. Incorporation of action research and program evaluation in mixed methods and coverage of the latest advances in the mixed methods field Additional coverage on qualitative and quantitative data analysis software in the respective methods chapters. Additional information about causality and its relationship to statistics in quantitative methods. Incorporation of writing discussion sections into each of the three methodologies. Current references and additional readings are included in this new edition.

This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design.

Applied Qualitative Research Design

A Total Quality Framework Approach

"This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information. Examples of studies from a wide range of disciplines illustrate the strengths, limitations, and applications of the primary qualitative methods: in-depth interviews, focus group discussions, ethnography, content analysis, and case study and narrative research. Following a consistent format, chapters show students and researchers how to implement each method within a paradigm-neutral and flexible Total Quality Framework (TQF) comprising four interrelated components: Credibility, Analyzability, Transparency, and Usefulness. Unlike other texts that relegate quality issues to one or two chapters, detailed discussions of such crucial topics as construct validity, inter-researcher reliability, researcher bias, and verification strategies are featured throughout. The book also addresses applications of the TQF to the writing, review, and evaluation of qualitative research proposals and manuscripts. KEY WORDS/SUBJECT AREAS: case study, content analysis, ethnographic, ethnography, focus groups, interviews, narrative, proposal writing, qualitative research, reliability, research designs, research methods, standards, studies, the literacy, total quality framework, transparency AUDIENCE: Graduate students and instructors in education, sociology, psychology, social work, management, communications, and nursing; researchers and evaluators seeking guidance for their qualitative research work. "--

"This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information.

Research Design and Statistical Analysis

Third Edition

Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.

This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences.

Data Analysis for Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.

This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.